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使用基于YOLOv8的k-fold交叉验证深度学习方法对精密农业的棉花叶病的分类

Kamaldeep Joshi1, Yashasvi Yadav1, Sahil Hooda1

  • 1Department of Computer Science and Engineering, University Institute of Engineering and Technology, Maharshi Dayanand University, Rohtak, Haryana, India.

Scientific reports
|October 13, 2025
PubMed
概括

这项研究引入了一个YOLOv8深度学习模型,具有10倍的交叉验证,用于准确识别棉花叶病. 该方法显著提高了疾病检测,提高了农民的作物产量和质量.

关键词:
识别棉花叶病的识别方法深度学习是一种深度学习.疾病的分类疾病的分类.通过K折交叉验证.精准农业 精准农业 精准农业在Yolov8深度学习模型中,

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